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Created November 1, 2025 13:33
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Summary Table: Boosting Libraries
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boosting_libraries.md
Library Strengths Weaknesses
XGBoost Highly customizable, GPU support, mature Slower than LGBM on large data
LightGBM Extremely fast, memory-efficient Less accurate with small data
CatBoost Best for categorical features, low tuning Slower training, high RAM use
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